Semantic Web Technologies for Data Integration in Multi-Disciplinary Engineering

Authors: 
Allan Hanbury
Allan Hanbury
Allan Hanbury
Type: 
Book Contribution
Proceedings: 
Multi-Disciplinary Engineering of Cyber-Physical Production Systems
Publisher: 
Springer
Pages: 
301 - 329
Year: 
2017
ISBN: 
ISBN: 978-3-319-56344-2
Abstract: 
A key requirement in supporting the work of engineers involved in<br> the design of Cyber-Physical Production Systems (CPPS) is offering tools that<br> can deal with engineering data produced across the various involved engineering<br> disciplines. Such data is created by different discipline-specific tools and is represented in tool-specific data models. Therefore, due to this data heterogeneity, it is<br> challenging to coordinate activities that require project-level data access. Semantic<br> Web technologies (SWTs) provide solutions for integrating and making sense of<br> heterogeneous data sets and as such are a good solution candidate for solving data<br> integration challenges in multi-disciplinary engineering (MDE) processes specific<br> for the engineering of cyber-physical as well as traditional production systems. In<br> this chapter, we investigate how SWTs can support multi-disciplinary engineering<br> processes in CPPS. Based on CPPS engineering use cases, we discuss typical<br> needs for intelligent data integration and access, and show how these needs can be<br> addressed by SWTs and tools. For this, we draw on our own experiences in building<br> Semantic Web solutions in engineering environments.
TU Focus: 
Information and Communication Technology
Reference: 

R. Sabou, F. Ekaputra, S. Biffl:
"Semantic Web Technologies for Data Integration in Multi-Disciplinary Engineering";
in: "Multi-Disciplinary Engineering of Cyber-Physical Production Systems", S. Biffl, A. Lüder, D. Gerhard (Hrg.); Springer, Switzerland, 2017, ISBN: 978-3-319-56344-2, S. 301 - 329.

Zusätzliche Informationen

Last changed: 
31.12.2017 09:40:22
Accepted: 
Accepted
TU Id: 
265512
Invited: 
Department Focus: 
Business Informatics
Author List: 
R. Sabou, F. Ekaputra, S. Biffl
Abstract German: